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» A Monotonicity Principle for Information Theory
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ICASSP
2010
IEEE
13 years 9 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos
TOPLAS
2008
81views more  TOPLAS 2008»
13 years 9 months ago
Size-change termination with difference constraints
lem of inferring termination from such abstract information is not the halting problem for programs and may well be decidable. If this is the case, the decision algorithm forms a &...
Amir M. Ben-Amram
KDD
2004
ACM
127views Data Mining» more  KDD 2004»
14 years 9 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
VLDB
1989
ACM
150views Database» more  VLDB 1989»
14 years 1 months ago
Aggregates in Possibilistic Databases
Fuzzy set theory represents a uniform framework for extending the relational database model to han-, dle imprecision of information found in the real world. None of the existing p...
Elke A. Rundensteiner, Lubomir Bic
ICDIM
2007
IEEE
14 years 26 days ago
Incentives for resource sharing in self-organized communities: From economics to social psychology
In this position paper we analyze the benefits of enabling virtual communities to self-organize and introduce a novel research direction for providing incentives, required in this...
Panayotis Antoniadis, Bénédicte Le G...